TY  - Data
T1  - Northern Hemisphere Permafrost ground temperature data since the last glacial maximum
A1  - Ran Youhua
A1  - Li Xin
A1  - Chen Fahu
DO  - 10.12072/ncdc.nieer.db7470.2026
PY  - 2026
DA  - 2026-06-29
PB  - National Cryosphere Desert Data Center
AB  - The Last Glacial Maximum (LGM) is the most recent period of large-scale glaciation. Since this period, climate evolution has spanned multiple states, providing an important opportunity to better understand the complex interactions between permafrost and the climate system. However, due to the complex evolution process of permafrost, existing models still lack reliable simulation capabilities, and have low resolution (about 100-200km) and high uncertainty. Based on high spatial resolution paleoclimate data CHELSA-TraCE 21k, using dual machine learning The (Random Forest and XGBoost) ensemble model uses a large number of measured data in the current period and is well trained to simulate and produce a permafrost ground temperature data product with a spatial resolution of 1 km every 100 years since 22ka BP. This product is a permafrost data product with the highest temporal and spatial resolution in the northern hemisphere on a ten-thousand-year scale. It is of great significance for understanding the dynamics of permafrost and its relationship with the climate system since the peak of the last ice age.Data files are provided in GeoTiff format and can be read through all common GeoTiff programs. All data use a geographical coordinate system based on the WGS84 horizontal benchmark. Each time period (timeID) folder contains three files representing the collective mean (Mean_ensemble_timeID_MAGT200), the 97.5th percentile (Quan975_ensemble_timeID_MAGT200) and the 2.5th percentile (Quan025_ensemble_timeID_MAGT200) of the 200 simulated MAGT200 times, and the number of times the MAGT200 times the MAGT200 times. This number divided by 200 can be used to express the probability of permafrost occurring.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/d23ac5fb-6c61-40c1-8552-6e932fa0ba94
ER  -